bioRxivCancer Biology
Epstein-Barr Virus Orchestrates Spatial Reorganization and Immunomodulation within the Classic Hodgkin Lymphoma Tumor Microenvironment
Y. Y. Yeo, H. Qiu, Y. Bai, B. Zhu, Y. Chang, J. Yeung, H. A. Michel, K. T. Wright, M. Shaban, S. Sadigh, D. Nkosi, V. Shanmugam, S. P. T. Yiu, P. Cramer, P. Rock, J. Paczkowska, P. Stephan, G. Liao, H. Wang, A. Y. Huang, H. Chen, L. Frauenfeld, B. Mitra, B. E. Gewurz, C. M. Schurch, , S. Jiang
Abstract
Classic Hodgkin Lymphoma (cHL) is a tumor composed of rare malignant Hodgkin and Reed-Sternberg (HRS) cells nested within a T-cell rich inflammatory immune infiltrate. cHL is associated with Epstein-Barr Virus (EBV) in 25% of cases. The specific contributions of EBV to the pathogenesis of cHL remain largely unknown, in part due to technical barriers in dissecting the tumor microenvironment (TME) in high detail. Herein, we applied multiplexed ion beam imaging (MIBI) spatial pro-teomics on 6 EBV-positive and 14 EBV-negative cHL samples. We identify key TME features that distinguish between EBV-positive and EBV-negative cHL, including the relative predominance of memory CD8 T cells and increased T-cell dysfunction as a function of spatial proximity to HRS cells. Building upon a larger multi-institutional cohort of 22 EBV-positive and 24 EBV-negative cHL samples, we orthogonally validated our findings through a spatial multi-omics approach, coupling whole transcriptome capture with antibody-defined cell types for tu-mor and T-cell populations within the cHL TME. We delineate contrasting transcriptomic immunological signatures between EBV-positive and EBV-negative cases that differently impact HRS cell proliferation, tumor-immune interactions, and mecha-nisms of T-cell dysregulation and dysfunction. Our multi-modal framework enabled a comprehensive dissection of EBV-linked reorganization and immune evasion within the cHL TME, and highlighted the need to elucidate the cellular and molecular fac-tors of virus-associated tumors, with potential for targeted therapeutic strategies.
- organism: human
- assay: spatial transcriptomics
- assay: proteomics
- research focus: cell-cell communication
- research focus: spatial domain detection
- research focus: differential expression
- approach: microscopy & imaging analysis
- approach: statistical model
- approach: machine learning (classical)
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- HIV-associated non-Hodgkin lymphoma tumor-microenvironment axes differ by EBV status across cellular origins
Amy Chadburn, Montserrat Aguilar-Hernández, … Elliott Daniel SoRelle·bioRxiv·Oct 15, 2025
- Loss of systemic anti-viral immunity and LMP1-driven suppressive myeloid tumour niches converge to shape the immunobiology of EBV+ diffuse large B-cell lymphoma
Éanna Fennell, Soi Cheng Law, … Paul Gerard Murray·bioRxiv·Jan 28, 2026
- Multidimensional characterization of cellular ecosystems in Hodgkin lymphoma
Tomohiro Aoki, Gerben Duns, … Christian Steidl·bioRxiv·Mar 18, 2025
- PD-L1-linked spatial decoupling of tumour-immune interactions in EBV-positive DLBCL
Axel Künstner, Matthias Kümmel, … Niklas Gebauer·medRxiv·Jul 4, 2026
- The spatially resolved tumor microenvironment predicts treatment outcome in relapsed/refractory Hodgkin lymphoma
- A high-resolution, unbiased analysis of the cellular immune response to Epstein-Barr virus
Álvaro F. García-Jiménez, Arianna Picozzi, … Hugh T. Reyburn·bioRxiv·Oct 9, 2025